Influence of Tidal Current, Wind, and Wave in Hebei Spirit Oil Spill Modeling

Lee, Kwang-Ho; Kim, Tag-Gyeom; Cho, Yong‐Hwan

doi:10.3390/jmse8020069

Cited by 15 publications

(4 citation statements)

References 21 publications

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“…2 presents the site location for the spilled oil slick. The Korean Coast Guard (KCG) report indicates that strong northwestern currents and winds blow oil slick transport along approximately 375 km of the west coast of Korean coastlines, heavily contaminating 70 km of the Taean peninsula with crude oil.Remarkably, the oil slick quickly reached the Taean shoreline at 13 h, which was significantly shorter than the predicted time of approximately 24 h, as suggested by the Ministry of Oceans and Fisheries (MOF)(Lee et al, 2020). In particular, oil slicks polluted large areas of the open sea and contaminated Jeju Island, the southern end of the Korean Peninsula(Kim et al, 2014).…”

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confidence: 79%

Numerical Model Test of Spilled Oil Transport Near the Korean Coasts Using Various Input Parametric Models

Dang,

Joo,

Lim

et al. 2024

J. Ocean Eng. Technol.

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Oil spills pose significant threats to marine ecosystems, human health, socioeconomic aspects, and coastal communities. Accurate real-time predictions of oil slick transport along coastlines are paramount for quick preparedness and response efforts. This study used an open-source OpenOil numerical model to simulate the fate and trajectories of oil slicks released during the 2007 Hebei Spirit accident along the Korean coasts. Six combinations of input parameters, derived from a five-day met-ocean dataset incorporating various hydrodynamic, meteorological, and wave models, were investigated to determine the input variables that lead to the most reasonable results. The predictive performance of each combination was evaluated quantitatively by comparing the dimensions and matching rates between the simulated and observed oil slicks extracted from synthetic aperture radar (SAR) data on the ocean surface. The results show that the combination incorporating the Hybrid Coordinate Ocean Model (HYCOM) for hydrodynamic parameters exhibited more substantial agreement with the observed spill areas than Copernicus Marine Environment Monitoring Service (CMEMS), yielding up to 88% and 53% similarity, respectively, during a more than four-day oil transportation near Taean coasts. This study underscores the importance of integrating high-resolution met-ocean models into oil spill modeling efforts to enhance the predictive accuracy regarding oil spill dynamics and weathering processes.

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confidence: 79%

Numerical Model Test of Spilled Oil Transport Near the Korean Coasts Using Various Input Parametric Models

Dang,

Joo,

Lim

et al. 2024

J. Ocean Eng. Technol.

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“…This type of shoreline is also included in the low energy shoreline class, which means that shoreline tends to avoid waves and tides so that the cleaning time is very slow (slow natural removal). Lee, et al (2020), state that tides and waves are important factors in determining the penetration speed of oil spills from the sea to the coast. However, waves and tides also have a major influence on the natural cleaning up of oil spills in coastal areas.…”

Section: Discussionmentioning

confidence: 99%

Shoreline Sensitivity Index to Oil Spills in Nusa Penida Marine Protected Area (Mpa), Bali

Putra

Osawa

Karang

2021

EJES

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The Shoreline Sensitivity Index(SSI) is one crucial aspect to know in protecting the coast from all threats, including oil spills. This study aims to determine the shoreline's sensitivity for oil spills based on several oceanographic parameters: shoreline type, tidal range, slope, and wave high in Nusa Penida, Map Protection Area (MPA). The weight overlay method was employed to apply the geographic information system (GIS). Each parameter component was scored as five categories before the weighted overlay. The shoreline sensitivity level of Nusa Penida island is divided into five categories: very low sensitive, low sensitive, medium sensitive, high sensitive, and very high sensitive. As the results, the SSI was categorized during the east monsoons (from June to August) and during the west monsoons (from December to February) is at a low sensitivity level to very high sensitivity. SSI during east monsoons there is about 60.05% (627.33 ha) in the medium, 9.39% (98.11 ha) in the high, and 2.39% (24.99 ha) in the very high sensitive. The SSI during the west season is about 78.16% (816.95 ha) with the medium, 19.43% (203.11 ha) with the high, and 2.39% (24.99 ha) with the very high sensitive. The difference in wave height during east and west monsoons greatly affects the sensitivity level of the Nusa Penida coastal area. However, sensitivity level in Jungutbatu and Lembongan Villages are not affected by the east or west monsoons.Keywords: Shoreline Sensitivity; GIS; Nusa Penida; Oil Spill.

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“…This type of transient reoiling was also noted by Beyer et al (2016), who reviewed information about the changing toxicity profiles of tar balls and other weathered oil. Understanding and predicting oil slick movement has long been a focus of oceanographic research, but most work has focused on short-term modeling in the cleanup phase of an oil spill (Kim et al, 2014;Lee et al, 2020). Understanding how small slicks move around marine habitats over scales of years and decades has, to our knowledge,…”

Section: Major Patternsmentioning

confidence: 99%

Shallow infaunal responses to the Deepwater Horizon event: Implications for studying future oil spills

Berke

Dorgan

Kiskaddon

et al. 2022

Front. Environ. Sci.

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Infaunal sedimentary communities underpin marine ecosystems worldwide. Understanding how disturbances such as oil spills influence infauna is therefore important, especially given that oil can be trapped in sediments for years or even decades. The 2010 Deepwater Horizon (DWH) event was the largest marine oil spill in United States history, impacting habitats throughout the Northern Gulf of Mexico. We investigated infaunal community structure at two shallow sites in the Chandeleur Islands, LA, United States, over a 2-year period from 2015 to 2016 (5–6 years post-spill). One site was moderately contaminated with oil from the DWH spill, while the other was only lightly contaminated. Both sites featured patchy Ruppia seagrass meadows, allowing us to compare infaunal communities between sites for seagrass versus unvegetated sediment. The moderately-oiled site featured a significantly different community than that of the lightly oiled site; these differences were driven by altered abundance of key taxa, with some taxa being less abundant at the moderately oiled site but others more abundant. During our second year of sampling, a crude oil slick moved transiently through the moderately-oiled site, allowing us to directly observe responses to an acute re-oiling event. Virtually every taxonomic and community-level metric declined during the re-oiling, with effects more pronounced in seagrass beds than in unvegetated sediment. The sole exception was the snail, Neritina usnea, which we found exclusively at the more-oiled site. Our observations suggest that oil responses are driven more by key taxa than by entire guilds responding together. By identifying the families and genera that showed the largest signal at this pair of sites, we can begin laying groundwork for understanding which benthic taxa are most likely to be impacted by oil spills, both in the immediate aftermath of a spill and through longer-term contamination. While more studies will certainly be needed, this contribution is a step towards developing clear a priori hypotheses that can inform future oil-spill work. Such hypotheses would help to focus future sampling efforts, allowing resources to be directed towards those taxa that are most likely to be responding, and which are potential bio-indicators of oil exposure.

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Influence of Tidal Current, Wind, and Wave in Hebei Spirit Oil Spill Modeling

Cited by 15 publications

References 21 publications

Numerical Model Test of Spilled Oil Transport Near the Korean Coasts Using Various Input Parametric Models

Numerical Model Test of Spilled Oil Transport Near the Korean Coasts Using Various Input Parametric Models

Shoreline Sensitivity Index to Oil Spills in Nusa Penida Marine Protected Area (Mpa), Bali

Shallow infaunal responses to the Deepwater Horizon event: Implications for studying future oil spills

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